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← Optimization & Theory
Machine Learning
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Optimization & Theory
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Statistical Learning
4,076 papers
Papers per year
2001: 2
2002: 8
2003: 9
2004: 7
2005: 9
2006: 34
2007: 37
2008: 34
2009: 41
2010: 62
2011: 68
2012: 81
2013: 109
2014: 120
2015: 99
2016: 149
2017: 160
2018: 205
2019: 285
2020: 376
2021: 433
2022: 447
2023: 577
2024: 488
2025: 192
2026: 44
Papers
Meta-analysis of heterogeneous data: integrative sparse regression in high-dimensions
JMLR 2022
Testing Whether a Learning Procedure is Calibrated
JMLR 2022
Selective Machine Learning of the Average Treatment Effect with an Invalid Instrumental Variable
JMLR 2022
Kernel Partial Correlation Coefficient --- a Measure of Conditional Dependence
JMLR 2022
Two-Sample Testing on Ranked Preference Data and the Role of Modeling Assumptions
JMLR 2022
Gaussian Process Boosting
JMLR 2022
Change point localization in dependent dynamic nonparametric random dot product graphs
JMLR 2022
A Wasserstein Distance Approach for Concentration of Empirical Risk Estimates
JMLR 2022
Double Spike Dirichlet Priors for Structured Weighting
JMLR 2022
Adaptive Greedy Algorithm for Moderately Large Dimensions in Kernel Conditional Density Estimation
JMLR 2022
Estimation and inference on high-dimensional individualized treatment rule in observational data using split-and-pooled de-correlated score
JMLR 2022
Functional Linear Regression with Mixed Predictors
JMLR 2022
Convergence Guarantees for the Good-Turing Estimator
JMLR 2022
Generalized Resubstitution for Classification Error Estimation
JMLR 2022
Semiparametric Inference For Causal Effects In Graphical Models With Hidden Variables
JMLR 2022
More Powerful Conditional Selective Inference for Generalized Lasso by Parametric Programming
JMLR 2022
Nystrom Regularization for Time Series Forecasting
JMLR 2022
Intrinsic Dimension Estimation Using Wasserstein Distance
JMLR 2022
On Low-rank Trace Regression under General Sampling Distribution
JMLR 2022
Convergence Rates for Gaussian Mixtures of Experts
JMLR 2022
Maximum sampled conditional likelihood for informative subsampling
JMLR 2022
Minimax optimal approaches to the label shift problem in non-parametric settings
JMLR 2022
An Analysis of the Impact of Annotation Errors on the Accuracy of Deep Learning for Cell Segmentation
MIDL 2022
Provably Confidential Language Modelling
NAACL 2022
Original or Translated? A Causal Analysis of the Impact of Translationese on Machine Translation Performance
NAACL 2022
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